How to Use the NASA MCP in Vercel AI SDK

Q: How do I configure the NASA MCP Server within a Vercel AI SDK project?

Install @ai-sdk/mcp and set up the client using createMCPClient with your HTTP endpoint. Pass the tools directly into streamText to let your agent call them.

Q: Can the Vercel AI SDK handle high-resolution imagery from NASA?

Yes, it works by passing image URLs from tools like getepicimages or getearthimagery directly to your frontend. Your app handles the image rendering, while the SDK manages the metadata stream.

Get real-time NASA space telemetry, Mars rover photos, and satellite imagery streaming directly into your Vercel AI SDK UI using this MCP Server.

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Connect NASA MCP to Vercel AI SDK

Create your Vinkius account to connect NASA to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NASA with Vercel AI SDK

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Instantly stream Mars photos with Vercel AI SDK

`get_mars_photos` pulls raw image data and metadata from active Mars missions directly into your application. Your AI client grabs the rover name, camera type, and Martian sol date to render them instantly. Instead of waiting for a complete payload to download, the Vercel AI SDK streams these image URLs directly to your frontend components. Users watch the Martian terrain load in real-time without staring at a blank loading spinner.

Track near-Earth objects in real-time

`get_neo_feed` monitors asteroids and other space debris passing close to Earth within a specified date range. The tool returns crucial data points like estimated diameter, velocity, and hazard status. Your agent uses this telemetry to build live tracking dashboards. Because this MCP Server integrates directly with the SDK, you can pipe these hazard calculations straight into interactive charts.

Search NASA media archives on the edge

`search_nasa_library` queries the official NASA image and video archive for historical space flight media. The tool returns direct media URLs along with descriptions and center information. This setup runs flawlessly on edge functions, keeping your application fast. You get light payloads that your UI renders immediately, bypassing heavy backend processing.

Setup guide

Set up NASA MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all NASA tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent NASA transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NASA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about NASA MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the client using `createMCPClient` with your HTTP endpoint. Pass the tools directly into `streamText` to let your agent call them.

Yes, it works by passing image URLs from tools like `get_epic_images` or `get_earth_imagery` directly to your frontend. Your app handles the image rendering, while the SDK manages the metadata stream.

The stream handles the error gracefully. You can catch the failure in your agent's tool execution block and prompt the user to try a different date or coordinate set.

No, Vinkius manages the authentication and rate limits behind the scenes. You only need one Vinkius endpoint token to access all nine tools on the MCP.

Vinkius processes your coordinates and text queries in an ephemeral sandbox. Your location data and search history are never stored or used for model training.

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